2009Unpublished venueRequires access

Data Cache Strategy Based on Colony Algorithm in Mobile Computing Environment

Yan Chu, Jianpei Zhang, Chunhui Zhao

Open publisher page 1 citations

Abstract

In mobile computing environments, the limited bandwidth of wireless communications, the weak capability of mobile computing equipments and the valuable power make it difficult for mobile devices to be maintained with the network all the time. Cache technique caches part of data in the clients to reduce the query of database server, so it solves the problem to some extent. Research on cache strategy for mobile computing environment has become an important research direction. Based on the analysis of existing cache strategy, we studied the cache strategy based on mobile agent further. In order to make Mobile Agents have the real and effective collaboration and not limited reference to the conceptual level, we use the ant colony algorithm to propose the data cache strategy based on ant colony algorithm. Finally, we give the experiment to show the superiority.

About this research paper

What this paper is about

In mobile computing environments, the limited bandwidth of wireless communications, the weak capability of mobile computing equipments and the valuable power make it difficult for mobile devices to be maintained with the network all the time. Cache technique caches part of data in the clients to reduce the query of database server, so it solves the problem to some extent. Research on cache strategy for mobile computing environment has become an important research direction. Based on the analysis of existing cache strategy, we studied the cache strategy based on mobile agent further. In order to make Mobile Agents have the real and effective collaboration and not limited reference to the conceptual level, we use the ant colony algorithm to propose the data cache strategy based on ant colony algorithm. Finally, we give the experiment to show the superiority.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In mobile computing environments, the limited bandwidth of wireless communications, the weak capability of mobile computing equipments and the valuable power make it difficult for mobile devices to be maintained with the network all the time. Cache technique caches part of data in the clients to reduce the query of database server, so it solves the problem to some extent. Research on cache strategy for mobile computing environment has become an important research direction. Based on the analysis of existing cache strategy, we studied the cache strategy based on mobile agent further. In order to make Mobile Agents have the real and effective collaboration and not limited reference to the conceptual level, we use the ant colony algorithm to propose the data cache strategy based on ant colony algorithm. Finally, we give the experiment to show the superiority.

Key concepts: Computer science, Cache, Cache algorithms, Cache invalidation, Smart Cache, Ant colony optimization algorithms, Mobile computing, Distributed computing

Related papers

Back to paper searchBrowse research topicsOriginal source
Data Cache Strategy Based on Colony Algorithm in Mobile Computing Environment — Research Paper | ScholarLens